A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Quantitative Analysis of Heavy Metal Pollution Sources, Influencing Factors, and Delineation of Pollution Risk Areas in Industrial Soil: A Combined Application of Receptor Models and GeoDetector
https://orcid.org/0009-0009-4925-761X
https://orcid.org/0000-0002-4625-2575
https://orcid.org/0000-0002-6825-8855
https://orcid.org/0000-0002-6600-2055
The identification of factors influencing heavy metals (HMs) pollution distribution in industrial sites and delineation of risk areas are critical for preventing soil pollution during production processes. This study introduced a methodology that integrates receptor models and Geodetector, which aim to quantitatively analyze the contribution of the influencing factors of the spatial distribution of HMs in soil and accurately delineate the pollution risk areas within industrial sites. This methodology was applied at a shipyard site. Through the employment of receptor models and Geodetector, we assessed the influence of various factors, such as the distribution of production workshops, offices, and material stacking yard, hydrogeological conditions, and soil physicochemical properties, on the spatial distribution of HMs in the soil. The findings indicate that the sources of HMs are closely associated with specific production processes. By further applying the interaction detector and risk detector of Geodetector and considering the multifactor influences, we delineated primary pollution areas, high-risk pollution areas, and potential pollution areas of HMs within the shipyard site. This provides an indication of severely contaminated areas and the pollution diffusion trend of HMs within the sites, thereby offering scientific guidance for the prevention and mitigation of soil HMs pollution in industrial sites.
Quantitative Analysis of Heavy Metal Pollution Sources, Influencing Factors, and Delineation of Pollution Risk Areas in Industrial Soil: A Combined Application of Receptor Models and GeoDetector
https://orcid.org/0009-0009-4925-761X
https://orcid.org/0000-0002-4625-2575
https://orcid.org/0000-0002-6825-8855
https://orcid.org/0000-0002-6600-2055
The identification of factors influencing heavy metals (HMs) pollution distribution in industrial sites and delineation of risk areas are critical for preventing soil pollution during production processes. This study introduced a methodology that integrates receptor models and Geodetector, which aim to quantitatively analyze the contribution of the influencing factors of the spatial distribution of HMs in soil and accurately delineate the pollution risk areas within industrial sites. This methodology was applied at a shipyard site. Through the employment of receptor models and Geodetector, we assessed the influence of various factors, such as the distribution of production workshops, offices, and material stacking yard, hydrogeological conditions, and soil physicochemical properties, on the spatial distribution of HMs in the soil. The findings indicate that the sources of HMs are closely associated with specific production processes. By further applying the interaction detector and risk detector of Geodetector and considering the multifactor influences, we delineated primary pollution areas, high-risk pollution areas, and potential pollution areas of HMs within the shipyard site. This provides an indication of severely contaminated areas and the pollution diffusion trend of HMs within the sites, thereby offering scientific guidance for the prevention and mitigation of soil HMs pollution in industrial sites.
Quantitative Analysis of Heavy Metal Pollution Sources, Influencing Factors, and Delineation of Pollution Risk Areas in Industrial Soil: A Combined Application of Receptor Models and GeoDetector
https://orcid.org/0009-0009-4925-761X
https://orcid.org/0000-0002-4625-2575
https://orcid.org/0000-0002-6825-8855
https://orcid.org/0000-0002-6600-2055
The identification of factors influencing heavy metals (HMs) pollution distribution in industrial sites and delineation of risk areas are critical for preventing soil pollution during production processes. This study introduced a methodology that integrates receptor models and Geodetector, which aim to quantitatively analyze the contribution of the influencing factors of the spatial distribution of HMs in soil and accurately delineate the pollution risk areas within industrial sites. This methodology was applied at a shipyard site. Through the employment of receptor models and Geodetector, we assessed the influence of various factors, such as the distribution of production workshops, offices, and material stacking yard, hydrogeological conditions, and soil physicochemical properties, on the spatial distribution of HMs in the soil. The findings indicate that the sources of HMs are closely associated with specific production processes. By further applying the interaction detector and risk detector of Geodetector and considering the multifactor influences, we delineated primary pollution areas, high-risk pollution areas, and potential pollution areas of HMs within the shipyard site. This provides an indication of severely contaminated areas and the pollution diffusion trend of HMs within the sites, thereby offering scientific guidance for the prevention and mitigation of soil HMs pollution in industrial sites.
Quantitative Analysis of Heavy Metal Pollution Sources, Influencing Factors, and Delineation of Pollution Risk Areas in Industrial Soil: A Combined Application of Receptor Models and GeoDetector
Lin, Mujing (author) / Liu, Xueming (author) / Deng, Hong (author) / Lin, Zhang (author)
ACS ES&T Engineering ; 4 ; 562-571
2024-03-08
Article (Journal)
Electronic Resource
English
Research progress in sources identification of soil heavy metal pollution
| British Library Online Contents | 2008
A Study on the Influencing Factors of China’s Ecological Footprint Based on EEMD–GeoDetector
| DOAJ | 2023
Hydraulic Delineation of Possible Groundwater Pollution from an Industrial River
| British Library Conference Proceedings | 2000
Influence of industrial heavy metal pollution on soil free-living nematode population
| Online Contents | 2008